XNORAM: An Efficient Computing-in-Memory Architecture for Binary Convolutional Neural Networks with Flexible Dataflow Mapping. - Shiwei Liu 002; Haozhe Zhu; Chixiao Chen; Lihua Zhang; Chuanjin Richard Shi (AICAS, 2020)

A Communication-Aware DNN Accelerator on ImageNet Using In-Memory Entry-Counting Based Algorithm-Circuit-Architecture Co-Design in 65-nm CMOS. - Haozhe Zhu; Chixiao Chen; Shiwei Liu 002; Qiaosha Zou; Mingyu Wang 001; Lihua Zhang; Xiaoyang Zeng; Chuanjin Richard Shi (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Systolic-Array Deep-Learning Acceleration Exploring Pattern-Indexed Coordinate-Assisted Sparsity for Real-Time On-Device Speech Processing. - Shiwei Liu 002; Zihao Zhao; Yanhong Wang; Qiaosha Zou; Yiyun Zhang; Chuanjin Richard Shi (ACM Great Lakes Symposium on VLSI, 2021)

A 200M-Query-Vector/s Computing-in-RRAM ADC-less k-Nearest-Neighbor Accelerator with Time-Domain Winner-Takes-All Circuits. - Chen Mu; Yunzhengmao Wang; Jiapei Zheng; Shiwei Liu 002; Keji Zhou; Shan Tang; Chixiao Chen; Qi Liu 010 (AICAS, 2022)

A Scalable Die-to-Die Interconnect with Replay and Repair Schemes for 2.5D/3D Integration. - Jie Liao; Bo Jiao; Jinshan Zhang 006; Shiwei Liu 002; Hao Jiang 024; Jun Tao 001; Wenning Jiang; Qi Liu 010; Lihua Zhang; Haozhe Zhu; Chixiao Chen (ISCAS, 2023)

A 28nm 53.8TOPS/W 8b Sparse Transformer Accelerator with In-Memory Butterfly Zero Skipper for Unstructured-Pruned NN and CIM-Based Local-Attention-Reusable Engine. - Shiwei Liu 002; Peizhe Li; Jinshan Zhang 006; Yunzhengmao Wang; Haozhe Zhu; Wenning Jiang; Shan Tang; Chixiao Chen; Qi Liu 010; Ming Liu 022 (ISSCC, 2023)

ConSmax: Hardware-Friendly Alternative Softmax with Learnable Parameters. - Shiwei Liu 002; Guanchen Tao; Yifei Zou; Derek Chow; Zichen Fan; Kauna Lei; Bangfei Pan; Dennis Sylvester; Gregory Kielian; Mehdi Saligane (ICCAD, 2024)

HARDSEA: Hybrid Analog-ReRAM Clustering and Digital-SRAM In-Memory Computing Accelerator for Dynamic Sparse Self-Attention in Transformer. - Shiwei Liu 002; Chen Mu; Hao Jiang 024; Yunzhengmao Wang; Jinshan Zhang 006; Feng Lin; Keji Zhou; Qi Liu 010; Chixiao Chen (IEEE Trans. Very Large Scale Integr. Syst., 2024)